1. What do you mean by system modelling? Why do we need to go for system modelling? What is
mathematical modelling? Classification of models. Modelling methods for complex systems.
Difference between static model and dynamic model. How do you construct a mathematical
modelling of a physical system with an example. What do you mean by state and state variable.
Answers
Answer:
Mathematical modelling
Explanation:
mathematical model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in non-physical systems such as the social sciences (such as economics, psychology, sociology, political science). Mathematical models are also used in music,[1] linguistics,[2]philosophy (for example, intensively in analytic philosophy), and religion (for example, the recurring uses of the #7, 12 & 40 in the Bible).
A model may help to explain a system and to study the effects of different components, and to make predictions about behavior.
Answer:
Systems modeling or system modeling is the interdisciplinary study of the use of models to conceptualize and construct systems in business and IT development. A common type of systems modeling is function modeling, with specific techniques such as the Functional Flow Block Diagram and IDEF0.
We build models of complex systems because we cannot comprehend such a system in its entirety. Every project can benefit from modeling. Modeling can help the development team better visualize the plan of their system and allow them to develop more rapidly by helping them build the right thing
mathematical model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences and engineering disciplines, as well as in non-physical systems such as the social sciences
A system can be classified into the following categories. Discrete-Event Simulation Model − In this model, the state variable values change only at some discrete points in time where the events occur. Events will only occur at the defined activity time and delays. Stochastic
Complex systems modelling is defined by the application of diverse mathematical, statistical and computational techniques, to generate insight into how some of the most complicated physical and natural systems in the world function